High Performance and Scalability through Application-Tier, In-Memory Data Management

Summary: An application-tier, in-memory SQL cache interoperates with disk-based RDBMSs, distributing frequently used data across application servers. Multi-cache synchronization, dynamic partitioning, and updates deliver scalable throughput, low latency, and high availability without centralized database bottlenecks. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 8897
Venue: VLDB
Year: 2000
Pagerank: 6.3659168e-05
Overall Rank: 5,093 | 65.06%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. The TimesTen Team (TimesTen Performance Software)

BibTeX Citation

@article{team_vldb00,
        title = {{High Performance and Scalability through Application-Tier, In-Memory Data Management}},
        author = {Team, The TimesTen},
        journal = {PVLDB},
        series = {{VLDB} '00},
        year = {2000}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,231	Transparent Mid-Tier Database Caching in SQL Server	2003	SIGMOD	8.8980681e-05
5,771	Mid-Tier Caching: The TimesTen Approach	2002	SIGMOD	6.0930434e-05
12,805	Distributed Computing with BEA WebLogic Server	2003	CIDR	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
3,965	In-Memory Data Management for Consumer Transactions: The TimesTen Approach	1999	SIGMOD	6.9848471e-05

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